• Amazon Web Services (AWS) for AI supercomputing.
• Nvidia's powerful GPUs, delivered as a scalable cloud service.
• A specialized Microsoft Azure or Google Cloud for GPU-intensive AI workloads.

• GPU-Accelerated Cloud Computing: Provides virtual servers equipped with powerful Graphics Processing Units (GPUs) optimized for AI, machine learning, and high-performance computing workloads.
• Hyperscale Data Storage: Offers scalable, high-performance object and block storage solutions designed to manage vast amounts of data for analytical and archival purposes.
• AI/ML Platform Services: Delivers managed platforms and tools for developing, training, and deploying artificial intelligence and machine learning models, leveraging its underlying GPU infrastructure.
• Networking and Content Delivery: Provides robust network infrastructure, including high-bandwidth connectivity and content delivery networks (CDNs), to ensure low-latency access to its data and compute services.
• Managed Database Services: Offers fully managed database solutions (relational and NoSQL) optimized for performance and scalability, handling the operational complexities of database management.

It appears that "Hyperscale Data" with the stock symbol "GPUS" is a hypothetical company, as no major public company with this exact name and symbol could be identified in real-world financial markets. The symbol "GPUS" strongly suggests a focus on Graphics Processing Units, and "Hyperscale Data" points to large-scale data processing and cloud infrastructure.

Assuming Hyperscale Data is a company that provides GPU-accelerated computing infrastructure and services for artificial intelligence, machine learning, and high-performance computing, its primary customers would be other businesses. Based on this hypothetical model, its major customers would likely be large enterprises and cloud providers requiring substantial compute power. Plausible major customer companies could include:

• Microsoft (NASDAQ: MSFT): A leading cloud provider (Azure) and a major investor in AI research and development, potentially utilizing Hyperscale Data's specialized GPU infrastructure or services.
• Meta Platforms (NASDAQ: META): Heavily invested in AI for its social media platforms, metaverse initiatives, and large language models, requiring vast amounts of GPU compute resources.
• Alphabet Inc. (NASDAQ: GOOGL): Parent company of Google and Google Cloud, with extensive AI research and development needs that could necessitate specialized GPU compute services from partners.

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William B. Horne, CEO & Vice Chairman

William B. Horne has served as the Chief Executive Officer and Vice Chairman of Hyperscale Data. He is expected to assume the position of Chairman of the Board while continuing in his CEO role, leading the company's transformation into an AI data center platform. Prior to his role at Hyperscale Data, Mr. Horne served as Chief Executive Officer at BitNile, Inc. He has also been a Director at Gresham Worldwide, Inc. (formerly Giga-tronics Incorporated) since September 2020. He has been described as a long-time business partner of Milton Ault III.

Kenneth Cragun, Chief Financial Officer

Kenneth Cragun serves as the Chief Financial Officer for Hyperscale Data, a position he has held since August 2020.

Milton "Todd" Ault III, Founder & Executive Chairman

Milton "Todd" Ault III is the Founder and Executive Chairman of Hyperscale Data. He is expected to step down from his executive role by December 31, 2025, to focus on leading Ault Capital Group (ACG), which he also chairs, and its diverse portfolio of businesses, including private credit, AI software, social gaming, equipment rental, and other sectors. He will remain a director on the board of Hyperscale Data. Ault & Company, Inc., where Mr. Ault serves as CEO, also holds shares in Hyperscale Data.

Henry C. Nisser, President & General Counsel

Henry C. Nisser holds the position of President and General Counsel at Hyperscale Data. He started in this role on January 18, 2021.

Joseph Spaziano, VP & Chief Information Officer

Joseph Spaziano is the Vice President and Chief Information Officer for Hyperscale Data. He has also been noted as the Chief Technology/Science/R&D Officer since December 31, 2006.

Hyperscale Data (GPUS) operates in several significant addressable markets related to high-performance data storage, cloud computing infrastructure, and data analytics. The primary markets for its products and services include the Hyperscale Data Center Market, the Hyperscale Computing Market, and the Data Center GPU Market.

The global hyperscale data center market was valued at approximately USD 162.79 billion in 2024 and is projected to reach USD 608.54 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 24.6% from 2024 to 2030. North America is a leading region in this market.

For hyperscale computing, the global market size was estimated at USD 55.5 billion in 2023 and is projected to reach USD 334.8 billion by 2032, growing at a CAGR of 22.8% from 2023 to 2032. North America holds a substantial share of this market.

In the data center GPU market, which is highly relevant for Hyperscale Data's AI and machine learning platforms, the global market size was estimated at USD 16.94 billion in 2024. This market is predicted to increase to approximately USD 192.68 billion by 2034, expanding at a CAGR of 27.52% from 2025 to 2034. North America held the largest revenue share in the data center GPU market in 2024.

Hyperscale Data (GPUS) is anticipated to drive future revenue growth over the next 2-3 years through several key initiatives and market trends, primarily focusing on its AI data center operations and digital asset holdings. The company's strategic direction, particularly after its planned divestiture of Ault Capital Group, Inc. in Q2 2026, will center exclusively on these core areas.

The expected drivers of future revenue growth for Hyperscale Data (GPUS) include:

• Expansion of AI-Optimized Data Center Infrastructure: Hyperscale Data is actively building out its "AI-optimized data center infrastructure." This aligns with a surging global demand for Graphics Processing Units (GPUs) driven by advancements in artificial intelligence (AI), machine learning (ML), and cloud computing, which require significant computational power. As an AI data center company, the expansion of this infrastructure positions GPUS to capitalize on the increasing need for high-performance computing to support complex AI workloads.
• Increased Bitcoin Mining Capacity and Efficiency: The company has made substantial investments to upgrade and expand its Bitcoin mining operations. During October, Hyperscale Data invested $16 million in 4,092 next-generation Bitmain S21+ miners and also acquired 2,000 new Bitmain S21 Pro Bitcoin miners, with the expectation of doubling its Bitcoin mining production capacity. This direct investment in more efficient and powerful mining hardware is a clear driver for increased digital asset generation and, consequently, potential revenue growth.
• Growth in Demand for GPU-Enabled High-Performance Computing (HPC) and AI Workloads: As an AI data center company, Hyperscale Data is poised to benefit from the broader market growth in GPU-enabled services. The global GPU market is projected for significant expansion due to the escalating demand for immersive gaming experiences, booming content creation, and the growing adoption of AI and machine learning across various applications. This rising demand for high-performance computing (HPC) for AI and other intensive workloads will likely increase the utilization and revenue generated from Hyperscale Data's data center services.
• Strategic Focus on Core Data Center and Digital Asset Operations: With the planned divestiture of its subsidiary Ault Capital Group, Inc. in the second quarter of 2026, Hyperscale Data intends to focus exclusively on its data center operations and digital asset holdings. This strategic streamlining of its business model is expected to allow the company to dedicate its resources and efforts more effectively to its core, high-growth segments, potentially leading to optimized operations, enhanced service offerings, and ultimately, improved revenue generation from these concentrated areas.

Share Repurchases

• Hyperscale Data established an "at-the-market" equity offering program, through which a portion of the up to $125 million in gross proceeds from stock sales could be allocated for future stock repurchases.

Share Issuance

• On November 5, 2025, Hyperscale Data completed a $125 million at-the-market (ATM) equity program, selling 255,490,454 shares of Class A common stock.
• Between September 29 and October 8, 2025, the company issued 8,750,000 shares of Class A common stock from the conversion of Series B Convertible Preferred Stock, and an additional 2,264,155 shares were issued from a convertible note on October 7, 2025.
• On December 23, 2024, Hyperscale Data issued 1,000,000 shares of Series F Exchangeable Preferred Stock to common stockholders and holders of Series C Preferred Stock.

Inbound Investments

• On August 1, 2025, Hyperscale Data secured up to $100 million in financing from Ault & Company, Inc., a related party, through the issuance and sale of Series H Convertible Preferred Stock.

Outbound Investments

• In September 2025, Hyperscale Data announced plans to add approximately $20 million in Bitcoin to its balance sheet, utilizing proceeds from its at-the-market offering.
• In October 2025, the company invested $16 million to purchase 4,092 Bitmain S21+ miners.

Capital Expenditures

• Hyperscale Data is actively developing and transitioning its Michigan data center into a cutting-edge artificial intelligence (AI) data center.
• Proceeds from the $125 million ATM offering are primarily allocated for acquiring Bitcoin and developing the Michigan data facility.
• The up to $100 million in financing from Ault & Company, Inc. is intended for the expansion of the Michigan data center, supporting infrastructure upgrades for AI solutions.